PROMPT ENGINEERING LANGUAGE MODELS - TOKENIZATION - TRAINING METHODS

[book24h]

Free Download PROMPT ENGINEERING: LANGUAGE MODELS - TOKENIZATION - TRAINING METHODS by MARCUS PINTO
English | October 17, 2024 | ISBN: N/A | ASIN: B0DK8P29ZJ | 77 pages | EPUB | 1.36 Mb
Artificial intelligence (AI) is increasingly integrated into our daily lives, transforming the way we work, interact, and make decisions.

This volume focuses on understanding language models, the crucial role of tokens, and the importance of training methods, showing how these technologies are reshaping the future of AI.
What you will find in this book:

• Language Models: An in-depth look at how powerful tools like GPT, BERT, and other natural language processing (NLP) models work, and how they are revolutionizing the way machines understand and interact with text.
  
• Tokenization: The foundation that allows AI systems to process human language accurately. The book explains how tokenization - the process of dividing text into smaller units - is critical to the success of language models. You will understand the importance of word, subword, and function tokens, and how they are applied in practice.
  
• Training Methods: Learn about fine-tuning and transfer learning, techniques that allow language models to adapt to new contexts effectively. This chapter explores the nuances and challenges of model training, with practical tips and best practices for tuning pre-trained models.
  
• Ethical and Technical Challenges: The book addresses important issues about the ethical impact of AI, such as data privacy, the transparency of models, and the implications of developing systems that can profoundly influence society. These topics are presented with a practical perspective, to ensure that AI developers take responsible approaches.
  

What you will learn from reading this book:

• Mastery of Language Models: You will learn how to apply tools such as GPT and BERT to create more efficient and responsive AI systems, mastering the techniques that transform natural language processing.
  
• Deep Understanding of Tokenization: Discover how tokenization acts as the foundation for the success of AI systems, and how different types of tokens influence machines' interpretation of language.
  
• Training Best Practices: Understand how to apply fine-tuning and transfer learning to maximize the performance of pre-trained models, preparing them for different contexts and challenges.
  
• Ethical and Technical Solutions: Explore the ethical implications of AI development and how to overcome technical and societal challenges to ensure systems are safe, fair, and accountable.
  

Who is this book suitable for:

• AI engineers and developers who want to improve their technical skills in language models, tokenization, and training methods.
  
• Data scientists who seek to deeply understand how data is transformed into valuable information through AI.
  
• Academic researchers working on artificial intelligence and natural language processing.
  
• Technology and Data Security managers interested in ensuring that AI tools are implemented in an ethical and safe manner.
  
• AI and technology enthusiasts who want to understand how machines are learning to interpret language and how this impacts the future of communication and automation.
  

About the author.Prof. Marcão, with extensive experience in information technology and marketing, works as a business consultant, career mentor and content producer. Author of more than 100 books, he uses innovative methodologies for efficient projects, contributing to information architecture.

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.

Links are Interchangeable - Single Extraction